Recent advances in IoT, AI, and national technology resilience

Gunawan, Teddy Surya (2021) Recent advances in IoT, AI, and national technology resilience. In: The 6th International Conference on Informatics and Computing (ICIC) 2021, 03-04 Nov 2021, Virtual Conference using Zoom. (Unpublished)

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Abstract

Internet of Things (IoT) and Artificial Intelligence (AI) are the critical enablers of the Industrial Revolution 4.0. IoT can be used in many applications that require precision, such as agriculture, industrial automation, education, automotive, and smart cities, to name a few. In other words, IoT is a powerful technology that can solve various business problems. Nevertheless, its integration with AI can help to take automation to the next level. This talk aims to discuss the recent advances in IoT, edge computing, and its applications. First, the IoT and edge commercial adoption survey 2021 will be highlighted. Then, the IoT framework will be introduced to solve a complex problem, including Things, Connect, Collect, Learn, and Do. Especially, the Learn part is very much related to AI. Then, some applications using IoT and edge computing will be presented. Finally, national technology resilience is now a necessity rather than necessary due to the current world situation. Therefore, future directions to enhance national technology resilience will be elaborated.

Item Type:	Conference or Workshop Item (Keynote)
Additional Information:	5588/95101
Uncontrolled Keywords:	IoT, Artificial Intelligence, National Technology Resilience
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering
Depositing User:	Prof. Dr. Teddy Surya Gunawan
Date Deposited:	06 Jan 2022 14:58
Last Modified:	06 Jan 2022 14:58
URI:	http://irep.iium.edu.my/id/eprint/95101

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